code wiki / _hdl_build / nx_power_iter_test.nx
nx_power_iter_test.nx
buildroot/runtime/_hdl_build/nx_power_iter_test.nx
about
nx_power_iter_test.nx -- the team APPLIES its general power-iteration ability to DISTINCT matrices and
triangulates against a float reference. The team authors the eigenvectors itself (Claude hand-solves
nothing):
A = [[2,1],[1,2]] -> eigenvalue 3, eigenvector ratio v0/v1 = 1.000
B = [[3,1],[1,2]] -> eigenvalue (5+sqrt5)/2 = 3.618, ratio v1/v0 = 0.618 (the golden ratio emerges)
Exit 0 on 6/6; the runner then triangulates the eigenvalue + ratio vs numpy. license_tier: ORIGINAL
dependencies 2 imports · 0 importers
imports: nx_power_iter.nxnx_syscalls.nx
imported by: nobody (leaf or entry point)
call flow from main pre-order; caps 40 nodes / depth 6 declared; ↻ = already shown
structs
| none |
consts
| none |
functions
| 11 | func pt_puts(s: *u8) -> i64 { var n: i64 = 0; while s[n] != (0 as u8) { n = n + 1 } sys_write(1, s, n); return 0 } |
| 12 | func pt_num(v: i64) -> i64 { let bb: *u8 = sys_mmap(28); var m: i64=v; if m<0 {m=0-m; sys_write(1,"-" as *u8,1)}; let t: *u8 = sys_mmap(28); var k: i64=0; if m==0 {t[0]=48;k=1}; while m>0 {t[k]=48+(m%10); m=m/10; k=k+1}; var i: i64=0; while i<k {bb[i]=t[k-1-i]; i=i+1}; sys_write(1, bb, k); return 0 } |
| 14 | func main() -> i64 |